Title |
Influenza seasonality and vaccination timing in tropical and subtropical areas of southern and south-eastern Asia
|
---|---|
Published in |
Bulletin of the World Health Organization, February 2014
|
DOI | 10.2471/blt.13.124412 |
Pubmed ID | |
Authors |
Siddhartha Saha, Mandeep Chadha, Abdullah Al Mamun, Mahmudur Rahman, Katharine Sturm-Ramirez, Malinee Chittaganpitch, Sirima Pattamadilok, Sonja J Olsen, Ondri Dwi Sampurno, Vivi Setiawaty, Krisna Nur Andriana Pangesti, Gina Samaan, Sibounhom Archkhawongs, Phengta Vongphrachanh, Darouny Phonekeo, Andrew Corwin, Sok Touch, Philippe Buchy, Nora Chea, Paul Kitsutani, Le Quynh Mai, Vu Dinh Thiem, Raymond Lin, Constance Low, Chong Chee Kheong, Norizah Ismail, Mohd Apandi Yusof, Amado Tandoc, Vito Roque, Akhilesh Mishra, Ann C Moen, Marc-Alain Widdowson, Jeffrey Partridge, Renu B Lal |
Abstract |
To characterize influenza seasonality and identify the best time of the year for vaccination against influenza in tropical and subtropical countries of southern and south-eastern Asia that lie north of the equator. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Japan | 13 | 19% |
France | 1 | 1% |
Venezuela, Bolivarian Republic of | 1 | 1% |
United States | 1 | 1% |
Unknown | 54 | 77% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 66 | 94% |
Scientists | 3 | 4% |
Practitioners (doctors, other healthcare professionals) | 1 | 1% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 87 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 4 | 5% |
Student > Master | 3 | 3% |
Other | 1 | 1% |
Researcher | 1 | 1% |
Unknown | 78 | 90% |
Readers by discipline | Count | As % |
---|---|---|
Pharmacology, Toxicology and Pharmaceutical Science | 2 | 2% |
Nursing and Health Professions | 2 | 2% |
Arts and Humanities | 1 | 1% |
Biochemistry, Genetics and Molecular Biology | 1 | 1% |
Immunology and Microbiology | 1 | 1% |
Other | 2 | 2% |
Unknown | 78 | 90% |